shyamsunder007/data-mining-and-warehousing

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

Data Mining and Warehousing

Sayantan Chatterjee - Indian Institue of Information Technology Allahabad (IIT 2015 511)

Contents

• IIIT-A Data Mining and Warehousing Course (IDMW 632 C)
• Lab 1: Apriori Algorithm
• Lab 2: FP Growth Algorithm
• Lab 3: Decision Tree
• Lab 4: Bayesian Classifier

Language:

 Python 3.6.1

Platform:

 VS Code Version 1.10.2

Operating System:

 Distributor  :	elementary
 Description  :	elementary OS 0.4 Loki
 Release      :	0.4
 Codename     :	loki

IIIT-A Data Mining and Warehousing Course (IDMW 632 C)

 University   : Indian Institute of Information Technology, Allahabad
 Course code  :	IDMW 632 C
 Semester     :	6

Lab 1: Apriori Algorithm

 apriori.py -s <minimum support> -c <minimum confidence> transactions.txt

Lab 2: FP Growth Algorithm

 python fp_growth.py data/T40I10D100K.dat -s <minimum support>

Lab 3: Decision Tree

 python decision_tree.py

Lab 4: Bayesian Classifier

 python main.py <filename>

• All solutions of laboratory problems are in Python3.
• Every solution is properly documented using docstrings.